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From "Sean Owen (JIRA)" <j...@apache.org>
Subject [jira] [Resolved] (SPARK-21118) OOM with 2 handred million vertex when mitrx multply
Date Fri, 16 Jun 2017 09:47:00 GMT

     [ https://issues.apache.org/jira/browse/SPARK-21118?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Sean Owen resolved SPARK-21118.
-------------------------------
    Resolution: Invalid

[~icesxrun] do not reopen this. This doesn't describe a problem with Spark, but a question
about usage.

> OOM with 2 handred million vertex when mitrx multply
> ----------------------------------------------------
>
>                 Key: SPARK-21118
>                 URL: https://issues.apache.org/jira/browse/SPARK-21118
>             Project: Spark
>          Issue Type: Bug
>          Components: MLlib
>    Affects Versions: 2.1.0
>         Environment: on yarn cluster,19 node.30GB per node
>            Reporter: tao
>
> i have 2 matrix each one is 200milions*200milions.
> i want to multiply them ,but run out with oom .
> finally i find the oom appear at blockmatrix.simulateMultiply . there is a collect action
at this method. 
>  the collect will return all dataset that is too large to driver so the driver will go
to oom.
> class BlockMatrix @Since("1.3.0") (
> private[distributed] def simulateMultiply(
>       other: BlockMatrix,
>       partitioner: GridPartitioner): (BlockDestinations, BlockDestinations) = {
>     val leftMatrix = {color:red}blockInfo.keys.collect() {color}// blockInfo should already
be cached
>     val rightMatrix = other.blocks.keys.collect()
> ......



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